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github.com/openai/point-e
/ types & classes
Types & classes
42 in github.com/openai/point-e
⨍
Functions
254
◇
Types & classes
42
↓ 6 callers
Class
PointCloud
An array of points sampled on a surface. Each point may have zero or more channel attributes. :param coords: an [N x 3] array of point c
point_e/util/point_cloud.py:19
↓ 3 callers
Class
MLP
point_e/models/transformer.py:51
↓ 3 callers
Class
NpzStreamer
point_e/evals/npz_stream.py:78
↓ 3 callers
Class
PointNetSetAbstraction
point_e/evals/pointnet2_utils.py:198
↓ 2 callers
Class
GaussianDiffusion
Utilities for training and sampling diffusion models. Ported directly from here: https://github.com/hojonathanho/diffusion/blob/1e0dceb3
point_e/diffusion/gaussian_diffusion.py:127
↓ 2 callers
Class
PointNetClassifier
point_e/evals/feature_extractor.py:51
↓ 2 callers
Class
Transformer
point_e/models/transformer.py:118
↓ 1 callers
Class
CLIPImageGridPointDiffusionTransformer
point_e/models/transformer.py:290
↓ 1 callers
Class
CLIPImageGridUpsamplePointDiffusionTransformer
point_e/models/transformer.py:412
↓ 1 callers
Class
CLIPImagePointDiffusionTransformer
point_e/models/transformer.py:229
↓ 1 callers
Class
CombinedReader
point_e/evals/npz_stream.py:212
↓ 1 callers
Class
CrossAttentionPointCloudSDFModel
Encode point clouds using a transformer, and query points using cross attention to the encoded latents.
point_e/models/sdf.py:72
↓ 1 callers
Class
FIDStatistics
point_e/evals/fid_is.py:16
↓ 1 callers
Class
GaussianToKarrasDenoiser
point_e/diffusion/k_diffusion.py:79
↓ 1 callers
Class
ImageCLIP
A wrapper around a pre-trained CLIP model that automatically handles batches of texts, images, and embeddings.
point_e/models/pretrained_clip.py:13
↓ 1 callers
Class
MultiheadAttention
point_e/models/transformer.py:23
↓ 1 callers
Class
MultiheadCrossAttention
point_e/models/perceiver.py:11
↓ 1 callers
Class
PointCloudSampler
A wrapper around a model or stack of models that produces conditional or unconditional sample tensors. By default, this will load models
point_e/diffusion/sampler.py:16
↓ 1 callers
Class
PointDiffusionTransformer
point_e/models/transformer.py:155
↓ 1 callers
Class
QKVMultiheadAttention
point_e/models/transformer.py:65
↓ 1 callers
Class
QKVMultiheadCrossAttention
point_e/models/perceiver.py:46
↓ 1 callers
Class
ResidualAttentionBlock
point_e/models/transformer.py:87
↓ 1 callers
Class
ResidualCrossAttentionBlock
point_e/models/perceiver.py:70
↓ 1 callers
Class
SimplePerceiver
Only does cross attention
point_e/models/perceiver.py:107
↓ 1 callers
Class
SpacedDiffusion
A diffusion process which can skip steps in a base diffusion process. :param use_timesteps: (unordered) timesteps from the original diffusion
point_e/diffusion/gaussian_diffusion.py:952
↓ 1 callers
Class
StreamingNpzArrayReader
point_e/evals/npz_stream.py:142
↓ 1 callers
Class
TriMesh
A 3D triangle mesh with optional data at the vertices and faces.
point_e/util/mesh.py:10
↓ 1 callers
Class
UpsamplePointDiffusionTransformer
point_e/models/transformer.py:358
↓ 1 callers
Class
_WrappedModel
point_e/diffusion/gaussian_diffusion.py:994
↓ 1 callers
Class
get_model
point_e/evals/pointnet2_cls_ssg.py:33
Class
CheckpointFunction
point_e/models/checkpoint.py:32
Class
FeatureExtractor
point_e/evals/feature_extractor.py:21
Class
FrozenImageCLIP
point_e/models/pretrained_clip.py:219
Class
InvalidFIDException
point_e/evals/fid_is.py:12
Class
KarrasDenoiser
point_e/diffusion/k_diffusion.py:31
Class
MemoryNpzArrayReader
point_e/evals/npz_stream.py:165
Class
NpzArrayReader
point_e/evals/npz_stream.py:136
Class
NumpyArrayInfo
Information about an array in an npz file.
point_e/evals/npz_stream.py:15
Class
PointCloudSDFModel
point_e/models/sdf.py:11
Class
PointNetFeaturePropagation
point_e/evals/pointnet2_utils.py:304
Class
PointNetSetAbstractionMsg
point_e/evals/pointnet2_utils.py:244
Class
get_loss
point_e/evals/pointnet2_cls_ssg.py:94